Hypersonic / Rarefied gas dynamics code developments (GPL-3.0)

Distribution transparent Machine Learning experiments on Apache Spark

Model Ablation Tool-Kit for Deep Learning Model

Explainability of Deep Learning Models

Extract and evaluate radiomics for liver cancer tumors from DICOM segmentation masks. Using SimpleITK, PyRadiomics and PyDicom.

Evaluating XAI methods through ablation studies.

Explainability of Brain Tumour Segmentation Models

Library to compute 3D surface-distances for evaluating liver ablation/tumor completeness based on segmentation images.

Phase zero of Artificial Neuroplasticity: Giving models self-editing capacity, through a trained triumvirate of three models; Analyzer / Trainee / Evaluator. The Analyzer uses TransformerLens to watch the Trainee. The Evaluator is the Review Board,, confirming the Trainee has become smarter than itself. This IS NOT implemented in this phase zero.

Targeted semantic multimodal input ablation. Official implementation of the ablation method introduced in the paper: "What Vision-Language Models 'See' when they See Scenes"

This is a tool for modeling river bank erosion in permafrost environments

ScrollCERT vΩ public demo: verification-first reproducibility certificate harness (gates, controls, ablations, run IDs).

A Loci/CHEM module to model material ablation.

A Loci/CHEM module to implement a reacting wall boundary condition to model carbon oxidation.

Working with Chest X-Ray (CXR) images : Medical Imaging

This final project uses two machine learning models, XGBoost and CatBoost, to train and predict outcomes on the given dataset.

Repository contains codes to run REACT mapping algorithm. REACT maps are a novel approach to identify organized islands in atrial fibrillation.

Ablation Surgery Planning in FSLeyes

Data supporting the findings of a Focal Laser Ablation study.

Generate infinite images for most model's training or validation